176 to 200 of 428 Machine Learning Jobs in London

Doing As an Back-end Engineer at GSK, you could get involved with: Backend development for Python-based web applications. Integration of AI/ML components with backend systems, data pipelines, and compute infrastructure. Delivering high-quality implementations following best practices, including automated testing and documentation. Participating in code reviews ...

documentation, and contributing to internal knowledge sharing (e.g. through workshops). Are we the perfect match? Minimum 2 years of experience in Software Engineering, ML Engineering, Data Science, or Data Engineering with a (bonus) specialised focus on building Generative AI products or agent-based systems. Proficiency in Python and developing ...

obtain one within the first 3 months): AWS Professional Certification (DevOps, Architect Pro, or Generative AI) OR AWS Specialty (Advanced Networking, Security, or Machine Learning). Adaptability, proactivity, strong communication skills, and a passion for learning new technologies. Startup or consulting experience is a plus. BENEFITS ...

more junior engineers. About you (essential) 5+ years’ experience in 3D computer vision, computational geometry or a closely related field. Proven track record shipping ML/AI systems into production (end-to-end pipelines). Strong software engineering skills — production-grade Python and engineering best practices. Practical experience with point … sector). If you're interested and have the required skillset, then apply now! Otherwise, if you are interested in any other AI/ML & Computer Vision roles, then reach out to Oscar Harper at IC Resources. ...

modern big data ecosystems. Implement and manage data observability and cataloguing tools (e.g., Monte Carlo, Atlan, DataHub) to enhance visibility and reliability. Partner with ML engineers, analysts, and analytics engineers to understand their data needs and enable advanced data use cases. Contribute to an engineering culture that values testing, peer … checks. Hands-on experience with big data tools (Airflow, Databricks) and data observability platforms. Collaborative mindset and experience working with cross-functional teams including ML and analytics specialists. Curiosity and enthusiasm for continuous learning - you stay up to date with the latest tools and trends in data engineering ...

across multiple languages and frameworks (weve used Python, Java, Kotlin, Node.js, C#, JavaScript, Express, React and Next.js to name a few). Passion for learning new technologies and helping others do the same. Proven track record of leading software architecture design and strategic technology initiatives. Strong expertise in cloud … managing client relationships at a senior level. Experience delivering government or public sector projects. Eligible for (or holding) SC security clearance Knowledge of AI, machine learning, or other emerging technologies relevant to software engineering. Experience promoting knowledge sharing. This might be through mentoring, blogs, talks, or internal communities. ...

Oracle's cloud ecosystem and a particular emphasis on analytics and AI solutions. Key Responsibilities: Serve as a lead developer, focusing on creating AI, ML, and reporting proof-of-concepts on enterprise systems and data. Design and implement solutions using advanced analytics platforms, cloud data warehouses, and AI services. Develop … development experience, delivering complex, large-scale systems. Proven expertise with the Oracle technology stack, including cloud data platforms, advanced analytics tools, and AI/ML functionalities. Demonstrable project experience with AI technologies such as Generative AI, Natural Language Processing (NLP), AI agents, and machine learning. Strong understanding ...

skilled Data Engineer to design, build, and optimize enterprise-scale data pipelines and cloud platforms. You will translate business and AI/ML requirements into robust, scalable solutions while collaborating across multi-disciplinary teams and external vendors. As a key member of the data architecture you will: Build and orchestrate … with cloud platforms (Snowflake, AWS fundamentals). Solid understanding of data architecture, warehousing, and modeling. Programming expertise: Python, Spark, SQL, API integration. Knowledge of ML/AI frameworks, MLOps, and advanced analytics concepts. Experience with CI/CD, data testing frameworks, and versioning strategies. Ability to work effectively in multi ...

research into production pipelines Help set technical direction and best practices for AI-driven interaction work Required experience Strong experience working with AI/machine learning systems (research and/or applied) Deep experience in one or more of the following: Human motion generation … Character animation or character control, Emotion recognition or affective computing, Human pose estimation, Virtual humans or embodied AI Strong proficiency in Python and modern ML frameworks (e.g. PyTorch) Proven ability to translate research ideas into working systems Track record of technical ownership and independent problem-solving Creative, research-driven mindset ...

business requirements. Oversee data modelling and architectural standards to support consistency, scalability, and interoperability. AI, Analytics & Innovation Lead the responsible adoption of AI and machine learning, embedding ethical principles, transparency, and control. Enable advanced analytics and data science capabilities to support insight-led decision-making and innovation. Guide … performing, future-ready teams. Package & Benefits Competitive base salary Performance-related bonus Comprehensive benefits package Flexible and hybrid working arrangements Ongoing professional development and learning support Additional Information This is a permanent, full-time position with hybrid working. Travel to UK office locations will be required based on business ...

global enterprise. Recognised thought leader in Data and Analytics (e.g., DataIQ Top 100, industry awards, keynote speaker). Expertise in AI strategy, machine learning, and enterprise data platforms. Strong understanding of cloud technologies (AWS, Azure, GCP) and modern data architectures. Exceptional stakeholder management and communication skills. Certifications such ...

engines, decision management systems, or low-code/BPM tools. Understanding of knowledge representation, logic, or semantic technologies (RDF, OWL, SPARQL). Awareness of machine learning and how probabilistic and deterministic reasoning can complement each other. Domain experience in financial services, insurance, healthcare, or other regulated industries. Degree ...

landscape and the challenges and opportunities faced by government agencies Deep knowledge of data analytics and related technologies, including cloud computing, artificial intelligence, and machine learning Excellent communication, presentation, and negotiation skills Proven leadership ability, with a track record of building and motivating high-performing teams. ...

Stack: Strong Python , SQL , and Java . AI Specialist: Hands-on experience with LLMs and prompt engineering. Academic: MSc/PhD in AI/ML (Safety or Agentic systems focus preferred). This is an urgent vacancy with a deadline where the hiring manager is shortlisting for an interview immediately. ...

this transformation where complex data becomes actionable intelligence.As Practice Lead , you’ll combine technical depth with strategic influence, shaping how advanced analytics, AI/ML, and ontology-driven solutions deliver mission-critical outcomes. What You’ll Do Architect & Govern Ontologies in Palantir Foundry to unify complex datasets. Build & Lead ...

Experience: The incumbent should have 1012+ years of experience in IT services sales in the European market , with at least 5+ years selling AI, ML, and data-led solutions . Exposure to the EMEA region is highly desirable, with a proven track record of closing large, complex AI transformation deals ...

Fabric solutions, including dataflows, data warehouses, and real-time analytics features. Develop and maintain ETL/ELT processes to support business reporting, analytics, and machine learning. Optimise data architectures for performance, reliability, and cost efficiency in cloud environments. Collaborate with data architects, analysts, and business stakeholders to gather requirements ...

data structures Hands on expertise in disparate technologies such as cloud computing, native device development, CMS solutions, service-oriented architecture, user interface development, or machine learning. What’s in it for you? – Our client loves to reward their people for doing a great job. This is until ...

APIs (OpenAI, Anthropic, DeepSeek, Qwen) Exposure to Docker or Kubernetes Familiarity with cloud providers (AWS/Azure/GCP) Coursework or experience in ML, transformers, NLP, or distributed systemsBonus (not required) Interest in real estate Interest in finance or quantitative modelling Experience building agents (LangChain, LlamaIndex, custom architectures) What ...

salary £60,000- £90,000 dependant on location and experience Technical stack: Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning Requirements Extensive experience with Azure AI solutions, programming expereince (Python, C#, or Java) Thisis a brilliant new role, and an opportunity … Java, with a deep understanding of software development principles. Extensive experience with Azure AI solutions, including Azure OpenAI Service, Azure Cognitive Services, and Azure Machine Learning. Familiarity with Azure Databricks is a plus. Understanding of CI/CD pipelines, containerization (Docker, Kubernetes), and experience implementing MLOps practices using Azure ...

implement robust credit risk models and frameworks to optimize our lending portfolio and minimize defaults. Data-Driven Decision Making: Leverage advanced analytics, AI, and machine learning to assess borrower risk and develop actionable insights that drive business growth. Collaborate with Cross-Functional Teams: Work closely with product, finance ...

digital product environment. In this role, you'll sit at the intersection of data, product, and experimentation - partnering closely with Product Managers, Engineers, and Machine Learning teams to deliver insights that shape product direction, user experience, and commercial outcomes. This is a hands-on, high-impact role suited ...

PoVs, accelerators, proof-of-concepts, and industry strategies tailored to client challenges in planning and analytics.? Innovate in the FP&A space by integrating Machine Learning & GenAI into FP&A processes for our clients. Develop cutting-edge analytical and planning scenario use-cases that can be leveraged ...

cost-to-serve. AI tools that improve customer experience, retention and operational efficiency. What We're Looking For Strong experience building applied AI or machine learning systems in production environments. Advanced Python skills and hands-on experience with modern AI tooling (e.g. LLM frameworks, vector databases, orchestration libraries ...

love using data to tell a story. We’re also the world’s largest team of data scientists, data engineers, and experts in machine learning and AI. Our focus is on big problems using the latest tech, serious brain power, and deep knowledge of just about every industry. ...